100 AI Tools for DevOps Engineers with Saurav Chaudhary

New AI tools for DevOps appear every week. Nobody gets hired for knowing all of them. You get hired for using the right three well, and knowing when not to trust them. This is the list I'd hand you if you asked me where to start.

What's inside

1. 100 AI tools sorted into 10 use cases: coding agents, IaC & cloud, Kubernetes, CI/CD & code review, observability, incident response & AI SRE, security, cloud cost (FinOps), docs & diagrams, and LLMOps & AI infrastructure
2. For every tool: what it does, what it's best for, and a link to the official site
3. One "start here" pick per use case, with a 15-minute task to try it today
4. A 30-day plan to build your own AI stack, one skill a week
5. 3 rules for using AI in production without getting burned

It's interactive, not a PDF: Search by name or by job ("alerts", "terraform", "cost"), filter by use case or open source, and tick off every tool you try. Your progress stays saved.

Who it's for: DevOps, SRE, platform and cloud engineers who want to work faster with AI and talk about it with confidence in interviews.

Curated October 2026 and fact-checked against each tool's official site.